Gregory Cooper, MD, PhD

Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis

Seymour CW, Kennedy JN, Wang S, Chang CH, Elliott CF, Xu Z, Berry S, Clermont G, Cooper G, Gomez H, Huang DT, Kellum JA, Mi Q, Opal SM, Talisa V, van der Poll T, Visweswaran S, Vodovotz Y, Weiss JC, Yealy DM, Yende S, Angus DC. Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis. JAMA. 2019 May 19. doi: 10.1001/jama.2019.5791. [Epub ahead of print] PubMed PMID: 31104070.

Instance-Specific Bayesian Network Structure Learning

Jabbari F, Viswewaran S, Cooper GF. Instance-Specific Bayesian Network Structure Learning. Proceedings of Machine Learning Research. 2018 Sep;72:169-180.  PMID: 30775723. PMCID: PMC6376975.

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inferenc

Cai C, Cooper GF, Lu KN, Ma X, Xu S, Zhao Z, Chen Z, Xue Y, Lee AV, Clark N, Chen V, Lu S, Chen L, Yu L, Hochheiser HS, Jiang X, Wang QJ, Lu X. Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. bioRxiv (2018). doi: http://dx.doi.org/10.1101/329375.

Precision Oncology Beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics

Ding MQ, Chen L, Cooper GF, Young JD, Lu X. Precision Oncology Beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics. Mol Cancer Res. 2018 Feb;16(2):269-278. doi: 10.1158/1541-7786.MCR-17-0378. Epub 2017 Nov 13. PMID: 29133589. PMCID: PMC5821274.

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System

King AJ, Cooper GF, Hochheiser H, Clermont G, Hausrecht M, Visweswaran S. Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA Annual Symp Proc. 2018 Dec 5;2018:673-682. eCollection 2018. PubMed PMID: 30815109. PMCID: PMC6371238.

The design and evaluation of a Bayesian System for detecting and characterizing outbreaks of influenza

Millett NE, Aronis JM, Wagner MM, Tsui F, Ye Y, Ferrar JP, Huag PJ, Gesteland PH, Cooper GF. The design and evaluation of a Bayesian System for detecting and characterizing outbreaks of influenza. bioRxiv (2018). Doi: https://doi.org/10.1101/435727.

Scoring Bayesian networks of mixed variables

Andrews B, Ramsey J, Cooper GF. Scoring Bayesian networks of mixed variables. International Journal of Data Science and Analytics (2018) 1-16. First Online 11 January 2018.

A Bayesian system to detect and characterize overlapping outbreaks.

Aronis JM, Millett NE, Wagner MM, Tsui F, Ye Y, Ferraro JP, Haug PJ, Gesteland PH, Cooper GF. A Bayesian system to detect and characterize overlapping outbreaks. Journal of Biomedical Informatics 2017 Sep;73:171-181. doi: 10.1016/j.jbi.2017.08.003. Epub 2017 Aug 7. PMID: 28797710. PMCID: PMC5604259.

Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR

King AJ, Hochheiser H, Visweswaran S, Clermont G, Cooper GF. Eye-tracking for Clinical Decision Support: A Method to Capture Automatically What Physicians Are Viewing in the EMR. AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:512-521. eCollection 2017. PMID: 28815151. PMCID: PMC5543363.

The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance

Ferraro JP, Ye Y, Gesteland PH, Haug PJ, Tsui F-C, Cooper GF, Van Bree R, Ginter T, Nowalk AJ, Wagner MM. The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance. Appl Clin Inform. 2017 May 31;8(2):560-580. doi:10.4338/ACI-2016-12-RA-0211. PubMed PMID: 28561130.

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